Summary method for fitted `msm`

models. This is simply a wrapper
around `prevalence.msm`

which produces a table of observed and
expected state prevalences for each time, and for models with covariates,
`hazard.msm`

to print hazard ratios with 95% confidence
intervals for covariate effects.

## Usage

```
# S3 method for msm
summary(object, hazard.scale = 1, ...)
```

## Arguments

- object
A fitted multi-state model object, as returned by

`msm`

.- hazard.scale
Vector with same elements as number of covariates on transition rates. Corresponds to the increase in each covariate used to calculate its hazard ratio. Defaults to all 1.

- ...
Further arguments passed to

`prevalence.msm`

.

## Value

A list of class `summary.msm`

, with components:

- prevalences
Output from

`prevalence.msm`

.- hazard
Output from

`hazard.msm`

.- hazard.scale
Value of the

`hazard.scale`

argument.

## Author

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk